deep-learning-fundamentals

Homework for Deep Learning Fundamentals class (BIT北理工, NLP, 深度学习基础)

• work1.ipynb: use MLP to forecast house price on kaggle
• work2.ipynb: classify images on CIFAR-10 (implement the pytorch function by our own)
• work3.ipynb: use CycleGAN to realize style transfer between photographs and Monet paintings.
• work5.ipynb: achieve sarcasm detection via Attention-Based BiLSTM
• work3_result_compressed.mp4: result display for work 3
• work4: Object Detection(https://github.com/llada60/2022_BIT_object_detection_competition)